Ontology highlight
ABSTRACT: Objective
To identify positive deviant (PD) physician organizations of Accountable Care Organizations (ACOs) with robust performance management systems (PMSYS).Data source
Third National Survey of Physician Organizations (NSPO3, n = 1,398).Study design
Organizational and external factors from NSPO3 were analyzed.Data collection/extraction methods
Linear regression estimated the association of internal and contextual factors on PMSYS. Two cutpoints (75th/90th percentiles) identified PDs with the largest residuals and highest PMSYS scores.Principal findings
A total of 65 and 41 PDs were identified using 75th and 90th percentiles cutpoints, respectively. The 90th percentile more strongly differentiated PDs from non-PDs. Having a high proportion of vulnerable patients appears to constrain PMSYS development.Conclusions
Our PD identification method increases the likelihood that PD organizations selected for in-depth inquiry are high-performing organizations that exceed expectations.
SUBMITTER: Pimperl AF
PROVIDER: S-EPMC5980166 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature
Pimperl Alexander F AF Rodriguez Hector P HP Schmittdiel Julie A JA Shortell Stephen M SM
Health services research 20170406 3
<h4>Objective</h4>To identify positive deviant (PD) physician organizations of Accountable Care Organizations (ACOs) with robust performance management systems (PMSYS).<h4>Data source</h4>Third National Survey of Physician Organizations (NSPO3, n = 1,398).<h4>Study design</h4>Organizational and external factors from NSPO3 were analyzed.<h4>Data collection/extraction methods</h4>Linear regression estimated the association of internal and contextual factors on PMSYS. Two cutpoints (75th/90th perce ...[more]